Results of wavelet image compression on CT-based clinical radiation oncology treatment planning

Charles L. Smith; Wei Kom Chu; Randy Wobig; Hongyang Chao; Charles Enke

Results of wavelet image compression on CT-based clinical radiation oncology treatment planning

Charles L. Smith, Wei Kom Chu, Randy Wobig, Hongyang Chao, Charles Enke

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Abstract

The influence of wavelet compression on calculated dose distribution is investigated as regards to CT-based radiotherapy planning. Chest CT images for radiotherapy were compressed and a treatment plan was constructed to generate a dose distribution within the CT image. The compressed images were analyzed using dose volume histograms (DVH) and compared to DVHs generated for uncompressed images. The lossy wavelet compression irreversibly changes pixel values in the CT, giving rise to errors in the dose calculations performed by treatment planning systems that account for tissue inhomogeneities in the image.

Original language	English (US)
Title of host publication	Proceedings of SPIE - The International Society for Optical Engineering
Publisher	Society of Photo-Optical Instrumentation Engineers
Pages	1147-1157
Number of pages	11
Volume	3661
Edition	II
State	Published - 1999
Event	Proceedings of the 1999 Medical Imaging - Image Processing - San Diego, CA, USA Duration: Feb 22 1999 → Feb 25 1999

Other

Other	Proceedings of the 1999 Medical Imaging - Image Processing
City	San Diego, CA, USA
Period	2/22/99 → 2/25/99

ASJC Scopus subject areas

Electrical and Electronic Engineering
Condensed Matter Physics

Cite this

Results of wavelet image compression on CT-based clinical radiation oncology treatment planning. / Smith, Charles L.; Chu, Wei Kom; Wobig, Randy et al.
Proceedings of SPIE - The International Society for Optical Engineering. Vol. 3661 II. ed. Society of Photo-Optical Instrumentation Engineers, 1999. p. 1147-1157.

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Smith, CL, Chu, WK, Wobig, R, Chao, H & Enke, C 1999, Results of wavelet image compression on CT-based clinical radiation oncology treatment planning. in Proceedings of SPIE - The International Society for Optical Engineering. II edn, vol. 3661, Society of Photo-Optical Instrumentation Engineers, pp. 1147-1157, Proceedings of the 1999 Medical Imaging - Image Processing, San Diego, CA, USA, 2/22/99.

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abstract = "The influence of wavelet compression on calculated dose distribution is investigated as regards to CT-based radiotherapy planning. Chest CT images for radiotherapy were compressed and a treatment plan was constructed to generate a dose distribution within the CT image. The compressed images were analyzed using dose volume histograms (DVH) and compared to DVHs generated for uncompressed images. The lossy wavelet compression irreversibly changes pixel values in the CT, giving rise to errors in the dose calculations performed by treatment planning systems that account for tissue inhomogeneities in the image.",

author = "Smith, {Charles L.} and Chu, {Wei Kom} and Randy Wobig and Hongyang Chao and Charles Enke",

year = "1999",

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AU - Chu, Wei Kom

AU - Wobig, Randy

AU - Chao, Hongyang

AU - Enke, Charles

PY - 1999

Y1 - 1999

N2 - The influence of wavelet compression on calculated dose distribution is investigated as regards to CT-based radiotherapy planning. Chest CT images for radiotherapy were compressed and a treatment plan was constructed to generate a dose distribution within the CT image. The compressed images were analyzed using dose volume histograms (DVH) and compared to DVHs generated for uncompressed images. The lossy wavelet compression irreversibly changes pixel values in the CT, giving rise to errors in the dose calculations performed by treatment planning systems that account for tissue inhomogeneities in the image.

AB - The influence of wavelet compression on calculated dose distribution is investigated as regards to CT-based radiotherapy planning. Chest CT images for radiotherapy were compressed and a treatment plan was constructed to generate a dose distribution within the CT image. The compressed images were analyzed using dose volume histograms (DVH) and compared to DVHs generated for uncompressed images. The lossy wavelet compression irreversibly changes pixel values in the CT, giving rise to errors in the dose calculations performed by treatment planning systems that account for tissue inhomogeneities in the image.

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T2 - Proceedings of the 1999 Medical Imaging - Image Processing

Y2 - 22 February 1999 through 25 February 1999

ER -

Results of wavelet image compression on CT-based clinical radiation oncology treatment planning

Abstract

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ASJC Scopus subject areas

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